10 of 10 Remote/Hybrid Amazon Bedrock Jobs in London

architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services/APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data … experience in: Python/JVM-based backend development REST APIs/microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings/retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL ...

Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/ ...

Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed ...

/analytics environments Candidates must demonstrate some level of exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding of generative AI/prompt engineering concepts If your experience matches the above requirements ...

platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands-on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation ...

using cutting-edge AI technologies within the banking sector. Key Responsibilities: Utilise hands-on experience with leading AI technologies and platforms, such as AWS Bedrock, Azure OpenAI, and Microsoft 365, to support teams in adopting these capabilities securely. Provide guidance on model security, deployment patterns, integration architectures, observability … Requirements: Master proficiency in Network Encryption. Expert proficiency in Secure AI. Master proficiency in Microsoft Azure Active Directory Security. Intermediate proficiency in AI Agents, Amazon Bedrock, and Microsoft Azure AI Foundry. Experience in translating platform-specific risks and best practices into actionable solutions. Strong collaborative skills to work ...

such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling Experience with modern web technologies including React and JavaScript or TypeScript Comfortable working in evolving codebases, with exposure to Ruby ...

Length: 9 months All candidates must demonstrate: UK FinServ Compliance: Deep familiarity with DORA , FCA Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool ...

/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting AI-enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science … data warehousing, analytics, or data platform development Experience working in complex or regulated environments is beneficial Desirable Experience Knowledge of AWS AI services (e.g. Bedrock) Experience contributing to data lake or modern data platforms Exposure to DataOps/CI-CD practices Experience in the public sector (nice to have ...

Services team. You'll be at the intersection of Agentic AI and Zero Trust , building the secure backbone for the next generation of AWS Bedrock deployments. The Baseline FinServ Pro: You know the UK landscape inside out- DORA , FCA Operational Resilience , and the EU AI Act aren't just … buzzwords to you; they're your toolkit. Bedrock Builder: Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and the full model lifecycle). AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP ...